Top Data & Analytics Jobs in Pittsburgh, PA

The role involves leading Quote-to-Revenue processes, mentoring junior team members, and ensuring quality deliverables in finance systems and billing operations.

As a Data Expert, you will define data strategy, build a data quality platform, develop rules, and improve data management across PNC's Technology organization.

Build and maintain R&D data and analytics platform: ingest, validate, transform, orchestrate and troubleshoot large datasets from on‑prem and cloud sources (SQL, AVEVA PI, Azure). Develop code (Python, PySpark, C#), document variables and transformation rules, support research reporting, and travel occasionally to manufacturing sites for project execution.

The VP, Head of Policy & Data Operations manages data governance and operations for proxy voting policies, ensuring data integrity and operational excellence while collaborating across teams to optimize processes and manage risks.

The analyst supports the development of digital solutions, analyzes product performance, enhances digital channels, and contributes to compliance and quality efforts.

Design, build, and maintain scalable data infrastructure and ETL/ELT pipelines in cloud environments. Collaborate with data scientists and engineers to enable ML model development and feed software products. Translate stakeholder requirements, manage prototype-to-production transitions, and recommend new data technologies. Provide ad hoc engineering, POC development, and data analysis support.

Lead design and implementation of data transfer strategies and operational data architecture. Develop and enforce data quality standards, collaborate with cross-functional teams to resolve data issues, monitor transfer activities for process improvements, and provide data-driven insights to support operations decision-making.

The Knowledge Engineer will develop and maintain ontologies and taxonomies, collaborate to create semantic models, and establish metadata standards for effective data usage in defense acquisition.

This role supports data initiatives at Carnegie Mellon University by developing data products, optimizing data pipelines, and ensuring data quality while collaborating with various teams.

Perform quantitative analysis and model development support within an economic capital team. Clean and explore large datasets, run basic diagnostics, build visualizations, and assist in validating predictive and ML models using Python/R/SAS and spreadsheet tools. Help integrate AI-generated code and agentic tools under manager supervision.